Digital Beamforming Interferometry

optics
Digital Beamforming Interferometry (GSC-TOPS-22)
Dividing a single antenna into two antennas
Overview
Synthetic Aperture Radar (SAR) is a sophisticated form of radar that implements a single antenna to successfully scan a target area, store the received signals, and coherently process the signals to resolve elements in an image of the target area. Interferometric SAR (InSAR) uses two or more SAR images to generate three dimensional maps of surface deformation or digital elevation using phase difference information. InSAR is commonly implemented with SAR systems in a repeat pass platform configuration where two SAR images are generated during each of the passes, and an interferogram between the two images provides the desired "height" measurement, or in a single pass configuration where the SAR system uses two separate antennas are used to generate the interferogram. NASA Goddard Space Flight Center has developed a new approach that uses a single phased array antenna and a single pass configuration to generate interferograms.

The Technology
NASA Goddard Space Flight Center (GSFC) has developed a new approach that uses a single phased array antenna and a single pass configuration to generate interferograms, known as Digital Beamforming Interferometry. A digital beamforming radar system allows the implementation of non-conventional radar techniques, known as Digital Beamforming Synthetic Aperture Radar Multi-mode Operation (DBSAR). DBSAR is an L-Band airborne radar that combines advanced radar technology with the ability to implement multimode remote sensing techniques, including several variations of SAR, scatterometry over multiple beams, and an altimeter mode. The Multiple channel data acquired with a digital beamformer systems allows the synthesis of beams over separate areas of the antenna, effectively dividing the single antenna into two antennas. The InSAR technique is then achieved by generating interferograms from images collected with each of the antennas. Since the technique is performed on the data, it allows for synthesizing beams in different directions (or look angles) and performs interferometry over large areas. Digital Beamforming Interferometry has potential in many areas of radar applications. For example, NASA GSFC innovators developed the first P-Band Digital Beamforming Polarimetric Interferometric SAR Instrument to measure ecosystem structure, biomass, and surface water.
Digital Beamforming Interferometry EcoSAR: P-band Digital Beamforming Polarimetric Interferometric SAR
Benefits
  • Simple design: reduces complexity inherent in typical systems
  • Powerful and Extensive: capable of fine resolution measurements
  • Doubles coverage area: able to synthesize beams on both sides of the track
  • Effectively turns one nadir looking antenna into two

Applications
  • Many areas of radar applications
  • Enables InSAR measurements using single antenna radars
Technology Details

optics
GSC-TOPS-22
GSC-16509-2 GSC-16509-1
9523768 9523768
Similar Results
https://www.flickr.com/photos/gsfc/4691464850
Concept Development for Advanced Spaceborne Synthetic Aperture Radar
The current innovation utilizes heritage flight proven L-band Digital Beamforming Synthetic Aperture Radar (DBSAR) in conjunction with a new P-Band Digital beamforming Polarimetric and Interferometric EcoSAR (ESTO IIP) architecture. The system employs digital beamforming (DBF) and reconfigurable hardware to provide advanced radar capabilities not possible with conventional radar instruments. The SAR is operated without the use of a slewing antenna allowing the single radar system to provide polarimetric imaging, interferometry, and altimetry or scatterometry data types. The SAR is also capable of Sweep-SAR, simultaneous SAR/GNSS-R , and simultaneous active/passive techniques. This system has an increased coverage area and can rapidly image large areas of the surface using the simultaneous left/right imaging. The resulting images maintain their full resolution and allows for faster full coverage mapping
Seaweed Farms in South Korea acquired by The Operational Land Imager (OLI) on Landsat 8
Non-Scanning 3D Imager
NASA Goddard Space Flight Center's has developed a non-scanning, 3D imaging laser system that uses a simple lens system to simultaneously generate a one-dimensional or two-dimensional array of optical (light) spots to illuminate an object, surface or image to generate a topographic profile. The system includes a microlens array configured in combination with a spherical lens to generate a uniform array for a two dimensional detector, an optical receiver, and a pulsed laser as the transmitter light source. The pulsed laser travels to and from the light source and the object. A fraction of the light is imaged using the optical detector, and a threshold detector is used to determine the time of day when the pulse arrived at the detector (using picosecond to nanosecond precision). Distance information can be determined for each pixel in the array, which can then be displayed to form a three-dimensional image. Real-time three-dimensional images are produced with the system at television frame rates (30 frames per second) or higher. Alternate embodiments of this innovation include the use of a light emitting diode in place of a pulsed laser, and/or a macrolens array in place of a microlens.
NASA robotic vehicle prototype
Super Resolution 3D Flash LIDAR
This suite of technologies includes a method, algorithms, and computer processing techniques to provide for image photometric correction and resolution enhancement at video rates (30 frames per second). This 3D (2D spatial and range) resolution enhancement uses the spatial and range information contained in each image frame, in conjunction with a sequence of overlapping or persistent images, to simultaneously enhance the spatial resolution and range and photometric accuracies. In other words, the technologies allows for generating an elevation (3D) map of a targeted area (e.g., terrain) with much enhanced resolution by blending consecutive camera image frames. The degree of image resolution enhancement increases with the number of acquired frames.
While Sochi is a coastal town on the Black Sea, the skiing events for the XXII Olympic Games are taking place about 40 kilometers (25 miles) inland. The venues are clustered around Krasnaya Polyana, a small town tucked between the Aibiga and Psekhako Ridges in the western Caucasus. This imageacquired by the Advanced Land Imager (ALI) on NASAs Earth Observing-1 (EO-1) satellite on February 8, 2014offers a view of the town and the ski facilities. The Rosa Khutor Alpine Center is the home to the downhill, snowboard, and freestyle events. The combined downhill skiing area measures about 20 kilometers (12 miles) in total, with the mens downhill course stretching 3,500 meters (11,482 feet) and featuring a 1,075-meter (3,526 foot) change in elevation. The highest lift climbs to the summit of Rosa Peak, which rises 2,320 meters (7,612 feet). While not being used for the Olympics, the nearby Black Pyramid mountain has downhill skiing trails as well. The same steep slopes that make Rosa Peak good for skiing also elevate the risk of avalanches. To protect against falling snow, planners installed a series of gas pipes along the top of the ridge. The pipes emit bursts of oxygen and propane that create small, controlled avalanches. Event organizers also installed a series of earthen dams to steer snow away from infrastructure, and they have deployed two backhoes to the top of Aibiga Ridge to knock cornices away before they pose a risk. The Laura Cross-country Ski and Biathalon Center is located to the north on Psekhako Ridge. It includes two stadiums, each with their own start and finish zones, two track systems for skiing and biathlon, as well as shooting areas and warm-up zones. The center is named for the Laura River, a turbulent river that flows nearby. NASA Earth Observatory image by Jesse Allen and Robert Simmon, using EO-1 ALI data provided courtesy of the NASA EO-1 team. Caption by Adam Voiland.
Pyramid Image Quality Indicator
The Pyramid Image Quality Indicator is based on the shape of a tall, 4-sided pyramid. Each side of the pyramid has a pair of vertical trenches which draw closer to each other and get narrower as they approach the tip of the pyramid. Inside the pyramid is a hollowed out conical section which may contain internal features for determining resolution or inserts that can be used for measuring contrast sensitivity. The system can be economically 3D printed and then coated, if need be, with high x-ray absorbing material. When a CT system operator is scanning a part, a specific method for that part which might include a large number of variables such as x-ray voltage, detector-to-source spacing, pixel size, etc. This established method will result in an effective level of detail for the resulting scan. The IQI is used to measure that level of detail. The operator may follow up the scan of the part with an identical scan of the IQI, which will allow a realistic measurement of parameters, like effective resolution or contrast sensitivity. The interior of the Pyramid IQI uses a 3D variant suited for 3D CT scan data tools, known as penetrameters. These penetrameters are a solid disc of material. A stack of discs of different diameters would accommodate a range of different thicknesses. The Pyramid IQI can be easily scaled for either larger or smaller parts. It can also be 3D printed using either plastic or metal additive manufacturing. This allows an end-user to match the material density of the IQI to that of the actual part.
Hurricane Dorian Seen From Aboard the Space Station. Former Goddard electrical engineer and current NASA astronaut Christina Koch snapped this image of Hurricane Dorian from the International Space Station during a flyover on Monday, September 2, 2019. The station orbits more than 200 miles above the Earth.
Direction of Arrival Estimation Signal of Opportunity Receiver
The Direction of Arrival Estimation Signal of Opportunity Receiver is a transceiver technology for small satellite and CubeSat platforms that enables maximization of antenna gain in a specific direction to receive desired signals and suppress signals from other directions. The receive is a four-channel transceiver system to be operating in a LEO orbit for receiving direct as well as reflected signal (signals reflected from the ground) of a communication satellite. An adaptive array processing is implemented to steer the receiver beam towards the GEO satellites as well as steer the antenna beam towards the ground. When the beam is steered towards the ground the receiver provides attenuation for the direct signal incident from the GEO satellite, thus isolating the reflected signal from the strong direct signal. Usually a simple pair of cross dipoles are used for receiving signals transmitted by communication satellites. One pair is used to receive direct signals and another pair is used receive reflected signals. These dipoles are ideally supposed to receive only the reflected signals from the ground. However, because of close proximity and strong coupling to each other through their mutual coupling and because of their broad beam patterns, these dipole antennas receive signals reflected from other targets, as well as the direct transmitted signal. Since the strength of direct signals will be above the strength of reflected signals, reflected signals typically are completely masked by the strong direct signals. The Direction of Arrival Estimation Signal of Opportunity Receiver maximizes antenna gain in a desired direction to maximize desired signal and suppress unwanted signals.
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